22 papers · ranked by Valyu relevance
Laura C. Guglielmetti, Fabio Faber-Castell, Lukas Fink, Raphael N. Vuille-dit-Bille
'Raphael N. Vuille-dit-Bille'] Background Statistic scripts are often made by mathematicians and cryptic for clinicians or non-mathematician scientists. Nevertheless, almost all research projects necessitate the application of some statistical tests or at least an understanding thereof. The present review aims on…
Lakshman Mahto
Consider a realization x = (x1, x2, . . . , xn) of an i.i.d. sample of size n from a known distribution model with unknown parameter θ. Imagine we have two people: - a. Statistician A: Knows the entire sample, gets n quantities: x = (x1, . . . , xn). - b. Statistician B: Knows T(x1, . . . , xn) = t, a single number…
Amy Luo
Ecologists and epidemiologists frequently rely on spatially distributed data. Studies in these fields may concern geographic boundaries, as environmental variation can determine the spatial distribution of organismal traits or diseases. In such cases, environmental boundaries produce coincident geographic boundaries…
Branimir Zauner, Branko Petrinec, Tomislav Bituh, Saša Ceci + 4 more
'Nikola Volarić' 'Aleksandar Včev' 'Andrea Vukoja' 'Dinko Babić'] Title: Abstract We present an overview of the theory of random measurement errors, focusing on the underlying concepts rather than on a strict mathematical formulation. Although the related literature is extensive, one can frequently encounter partly or…
Authors not listed
We developed OpenStats, a user-friendly web application that brings the power of the R language to researchers through a high-level interface and broad support for statistical methods such as t-tests and ANOVA. OpenStats was integrated into our electronic lab notebook Chemotion ELN via its third-party API, enabling…
Thijs Janzen, Rampal S. Etienne
Phylogenetic trees are believed to contain a wealth of information on diversification processes. Comparing phylogenetic trees is not straightforward due to their high dimensionality. Researchers have therefore defined a wide range of one-dimensional summary statistics. However, it remains unexplored to what extent…
M. M. Hammad
Statistics provides us with the means to make sense of data, uncover patterns, and draw meaningful conclusions from seemingly complex information. It has applications in a wide range of disciplines, including science, engineering, finance, social sciences, and many others. Meanwhile, Mathematica, a powerful…
Andrew Gelman, Keith O’Rourke, Carlos Alberto De Bragança Pereira, Paulo Canas Rodrigues + 1 more
'Paulo Canas Rodrigues' 'Mark Andrew Gannon'] Amalgamation of evidence in statistics is conducted in several ways. Within a study, multiple observations are combined by averaging, or as factors in a likelihood or prediction algorithm. In multilevel modeling or Bayesian analysis, population or prior information is…
Albert Vexler, Douglas Landsittel
A test statistic is typically constructed to discriminate effectively between competing hypotheses. In contrast, we propose and examine a framework that shifts attention to ancillary statistics—quantities whose distributions remain invariant under the tested hypotheses. Rather than directly optimizing discriminatory…
Marina Zaki, Lydia O'Sullivan, Declan Devane, Ricardo Segurado + 1 more
'Eilish McAuliffe'] Background Trials in health care are prospective human research studies designed to test the effectiveness and safety of health care interventions, such as medications, surgeries, medical devices and other treatment or prevention interventions. Statistics is an important and powerful tool in trials.…
Authors not listed
The precision of thermodynamic modeling for ionic liquid (IL)–solute systems is fundamentally reliant on the quality of experimental data. However, prevalent databases such as ILThermo frequently exhibit conflicting measurements for the same systems under identical temperature and pressure conditions. These disparities…
Samuel Anyaso-Samuel, Mark Louie Ramos, Felix G. Rebitschek
Amid growing recognition of the role statistical literacy plays in informed decision-making, we examined self-reported statistical literacy and willingness to apply statistical reasoning in everyday contexts using data if they understood statistics better through secondary data analysis of a nationally representative…
Dandan Chen, Carolyn Anderson
Categorical data are common in educational and social science research; however, methods for its analysis are generally not covered in introductory statistics courses. This chapter overviews fundamental concepts and methods in categorical data analysis. It describes and illustrates the analysis of contingency tables…
Kalle Leppälä, Flavio Augusto da Silva Coelho, Michaela Richter, Victor A. Albert + 1 more
Over the past 15 years, the D-statistic, a four-taxon test for organismal admixture (hybridization, or introgression) that incorporates single nucleotide polymorphism data with allelic patterns ABBA and BABA, has seen considerable use. This statistic seeks to discern significant deviation from either a given species…
Yi‐Ting Chen, Wei Lin, Xiaoping Shi
Data depth has been applied as a nonparametric measurement for ranking multivariate samples. In this paper, we focus on homogeneity tests to assess whether two multivariate samples are from the same distribution. There are many data depthbased tests for this problem, but they may not be very powerful, or have unknown…
Rafael C. Núñez, Gregory R. Hart, Michael Famulare, Christopher Lorton + 1 more
Since the coining of the term phylodynamics, the use of phylogenies to understand infectious disease dynamics has steadily increased. As methods for phylodynamics and genomic epidemiology have proliferated and grown more computationally expensive, the epidemiological information they extract has also evolved to better…
Christian Tönsing, Bernhard Steiert, Jens Timmer, Clemens Kreutz
Likelihood ratios are frequently utilized as basis for statistical tests, for model selection criteria and for assessing parameter and prediction uncertainties, e.g. using the profile likelihood. However, translating these likelihood ratios into p-values or confidence intervals requires the exact form of the test…
Per Lytsy, Mikael Hartman, Ronnie Pingel
Of the 169 persons who agreed to participate, 139 (75 doctoral students and 64 statisticians) responded to the two outcome questions, making the overall response rate of randomised participants as 82.2%. There were more women in the doctoral student group, whereas there were more men in the group of statisticians (male…
Authors not listed
Quantitative Structure Activity Relationship (QSAR) remains an effective tool for early-stage chemical modelling and virtual screening in drug design. The advancements in this field are led by two core paradigms, 1) descriptor engineering, where complex fixed-length vectors of compounds are generated and conventional…
Authors not listed
The rapid growth of worldwide computing power has transformed in silico chemistry into a discipline that is integrated into the daily work of many chemists. Nowadays, researchers find it increasingly straightforward to predict a wide range of molecular properties and chemi- cal processes at reasonable computational…
Authors not listed
Plastic mechanical recycling is the conventional technological step towards circularity. In such aspects, complex mixtures of polyolefin blends are often fed into mechanical recycling systems, resulting in moulded products with uncertain quality. To add to the difficulty of heterogeneous feedstocks, the testing of…
Amelia Carolina Sparavigna
Previous studies (Sparavigna, 2023) have demonstrated the Tsallis q-Gaussian functions suitable for the analysis of Raman spectra. Here we consider two asymmetric forms of them, with the aim of further improving the fitting of Raman spectra. The first asymmetric form, that we are here proposing for the first time, is a…